Achieve Operational Excellence with AI You Can Trust

AI Expert Built for Operations and Maintenance Teams in Heavy Industry

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Operational excellence dashboard with AI insights

AI-driven Operational Excellence (OEx) Platform

Get reliable predictions for anomalies, clear root cause analysis, and actionable recommendations so you know exactly what’s happening, why, and what to do next.

Drive Real Operational Results

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Cut unplanned downtime by up to 50%

by detecting developing issues weeks in advance and resolving them before they cause outages

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Lower maintenance costs by 30%

by avoiding unnecessary work, reducing parts spend, and focusing resources on the issues that matter most

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Boost productivity by 25%

with an AI co-pilot that answers questions, explains recommendations, and guides decisions in real-time

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Eliminate 90% of alert fatigue

with intelligent filtering that covers 100% of your assets while delivering only actionable, explainable insights

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Capture and preserve critical expertise

before senior operators retire, scaling their knowledge across every shift and plant

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Deploy in under 6 weeks

with minimal disruption and immediate efficiency gains

10-15X ROI within 9 months – Trusted by leading industrial companies across the globe

From Noise to Clear Actionable Recommendations

Problem: Vibration alert on critical equipment

Traditional Approach

12+ weeks of back-and-forth investigations, escalating to senior experts, only to find it wasn’t a bearing issue at all.


Dispatch maintenance to check the bearing

I&E technician calibrates the instrumentation, but the issue persists

Escalate to senior expert who analyzes upstream and downstream equipment, work history, failure mode criticality, etc.

Discovers it was never a bearing issue in the first place and additional time spend to understand the root cause

With UptimeAI Expert

1 hour to diagnose root cause and work on resolution


AIExpert finds the issue and the root cause

Then the I&E technician can co-relate with time series data of linked sensors, which validates the recommendation


Recommendation:

Vibration pattern matches August 2023 event—loose baseplate after seal replacement. Suction pressure down 6%, motor current elevated. Recommend foundation bolt inspection. Work order ready."

Operational Excellence with AI for O&M Teams

Difference: Explainable AI that finds the issue, accelerates decision making, and builds operator confidence.

What our Champions say about us?

What Analysts Say

“UptimeAI is unique because it focuses on helping customers solve issues relating to heavy asset and process operations by automating and explaining fault diagnosis and providing recommended actions.”

Sankara Narayan

Industry Director, Frost & Sullivan

What Customer Say

“UptimeAI fits the bill, with its rapid deployment and prescriptive suggestions designed for clear communication with our operations teams.”

E.R. Raj Narayanan

Chief Manufacturing Officer and
Business Head of UltraTech Cement

See UptimeAI in action?

Schedule a one-on-one demo where we can show you exactly how our platform will drive Operational Excellence across all Plant Sites

Frequently asked questions (FAQ)

What is predictive maintenance (PdM)?

Predictive maintenance, or "PdM", utilises sensor data from tools like temperature gauges, vibration monitors, and others to monitor equipment performance in real-time. This approach aims to detect and prevent failures before they occur.

How does UptimeAI implement predictive maintenance software in less than 30 days?

We follow a System Model approach to consider each unit as part of a System Configuration and follow the philosophy of Connected Systems. Hence, any early signs of malfunction are detected by identifying the first-order anomalies, enabling businesses to schedule maintenance before major issues occur, thus increasing uptime and productivity.

What role do artificial intelligence and machine learning play in predictive maintenance?

AI and machine learning are integral to predictive maintenance, analysing historical and real-time data from equipment to identify patterns and predict failures. These technologies continually improve their predictive capabilities by learning from new data, enhancing accuracy over time.

How do predictive maintenance solutions work with the Plant Operational Technology stack?

Predictive maintenance solutions include software, systems, and various sensors used to anticipate necessary asset maintenance. These tools help businesses accurately predict when assets may fail or require maintenance, preventing equipment downtime.

How does an Operational Excellence platform incorporate Prescriptive Maintenance?

An Operational Excellence platform integrates Prescriptive Maintenance by providing insights and recommendations on optimising the Equipment maintenance process. It goes beyond predicting failures and offering actionable advice to improve the overall efficiency of maintenance operations across plant sites and enhance operational excellence.

Ready to transform your operations?

See UptimeAI in action with your actual equipment data